Predicting obesity: a comparative analysis of machine learning models incorporating different features

Predicting obesity: a comparative analysis of machine learning models incorporating different features

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliografiske detaljer
Main Authors:	Rahman, Md.Sakibur, Ahmed, Kaosar, Nafis, Tanvir Alam, Hossain, Md. Ridwan, Majumder, Swapnil
Andre forfattere:	Sadeque, Farig Yousuf
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	Supervision Unsustainable lifestyle AI system Self monitoring Pre-existing diseases Machine learning Artificial intelligence
Online adgang:	http://hdl.handle.net/10361/21929

Lignende værker

A survey on childhood obesity: an alarming epidemic of Bangladesh
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Uneven impact of COVID-19 on ethnic or racial minorities explained by differences in the prevalence of pre-existing health conditions
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A case study on human resource practices of Fair Food & Lifestyle Ltd.
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Udgivet: (2018)

A glimpse at Bangladeshi fashion and lifestyle industry through ICE Today Magazine
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Udgivet: (2018)

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Comprehensive analysis on the relation of marketing and distribution of ACI Logistics Limited-Lifestyle.
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A review on boosting immune system by healthy lifestyle
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Effective feature selection for real-time stock trading in variable time-frames and multi criteria decision theory based Efficient stock portfolio management
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Udgivet: (2021)

Teachers' perceptions about child-friendly and interactive teaching-learning in early primary grades of Government Primary Schools (GPS)
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Udgivet: (2018)

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Early Music

Development of productive tense inflections in bangla speaking pre-school children
af: Rahman, S. M. Sanzana
Udgivet: (2018)

Internship at The Daily Star
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Udgivet: (2018)

Artificial intelligence: Essential to Successful Consumer Acquisition for the Consumer Electronics Goods Industry in Bangladesh. A study on Walton Hi Tech Industries Ltd.
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Udgivet: (2023)

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